Vector Similarity, Zero Client JS: Decoupled Analytics on a Side Project Budget
📰 Dev.to · Jason Agostoni
Learn to build a leaderboard with vector similarity and zero-client JS for decoupled analytics on a budget
Action Steps
- Build a vector database to store question embeddings
- Use a library like Faiss or Annoy to calculate vector similarity
- Implement a leaderboard algorithm to rank questions based on similarity
- Deploy a zero-client JS application to display the leaderboard
- Configure analytics to track user interactions with the leaderboard
Who Needs to Know This
Developers and data analysts on a team can benefit from this approach to build scalable and cost-effective analytics solutions. It's particularly useful for side projects or small budgets.
Key Insight
💡 Vector similarity can be used to build scalable and cost-effective analytics solutions, even on a side project budget
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🚀 Build a leaderboard with vector similarity and zero-client JS for decoupled analytics on a budget! 💡
Key Takeaways
Learn to build a leaderboard with vector similarity and zero-client JS for decoupled analytics on a budget
Full Article
A leaderboard for DumbQuestion.ai sounds simple. Track the most asked questions, display them. Done....
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